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Meyer-Bäse, A., Pilyugin, S., Wismüller, A. and Foo, S. (2004) Local Exponential Stability of Competitive Neural Networks with Different Time Scales. Engineering Applications of Artificial Intelligence, 17, 227-232.
https://doi.org/10.1016/j.engappai.2004.02.010

has been cited by the following article:

• TITLE: General Decay Synchronization of Competitive Fuzzy Neural Networks Involving Time Delays and Right-Hand Discontinuous Activation

  AUTHORS: Mairemunisa Abudusaimaiti, Abuduwali Abudukeremu

  KEYWORDS: Competitive Neural Network, Fuzzy, General Decay Synchronization, Discontinuous Activation Function

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.14 No.11, November 27, 2024

  ABSTRACT: This paper discusses the general decay synchronization problem for a class of fuzzy competitive neural networks with time-varying delays and discontinuous activation functions. Firstly, based on the concept of Filippov solutions for right-hand discontinuous systems, some sufficient conditions for general decay synchronization of the considered system are obtained via designing a nonlinear feedback controller and applying discontinuous differential equation theory, Lyapunov functional methods and some inequality techniques. Finally, one numerical example is given to verify the effectiveness of the proposed theoretical results. The general decay synchronization considered in this article can better estimate the convergence rate of the system, and the exponential synchronization and polynomial synchronization can be seen as its special cases.